Adaptive Multimedia Retrieval: User, Context, and Feedback: by Myunggwon Hwang, Hyunjang Kong, Sunkyoung Baek, Pankoo Kim

By Myunggwon Hwang, Hyunjang Kong, Sunkyoung Baek, Pankoo Kim (auth.), Stéphane Marchand-Maillet, Eric Bruno, Andreas Nürnberger, Marcin Detyniecki (eds.)

This publication constitutes the completely refereed post-proceedings of the 4th overseas Workshop on Adaptive Multimedia Retrieval, AMR 2006, held in Geneva, Switzerland in July 2006. The 18 revised complete papers awarded including 2 invited papers have been rigorously chosen in the course of rounds of reviewing and development. additionally integrated are invited contributions which have been meant to open on less-addressed issues in the neighborhood, because it is the case for tune info retrieval and dispensed info retrieval. The papers are equipped in topical sections on ontology-based retrieval and annotation, score and similarity measurements, track info retrieval, visible modelling, adaptive retrieval, structuring multimedia, in addition to consumer integration and profiling.

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Additional resources for Adaptive Multimedia Retrieval: User, Context, and Feedback: 4th International Workshop, AMR 2006, Geneva, Switzerland, July 27-28, 2006, Revised Selected Papers

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Springer, 2006. SAFIRE: Towards Standardized Semantic Rich Image Annotation 27 25. S. R¨ uger. Putting the user in the loop: Visual resource discovery. In Adaptive Multimedia Retrieval: User, Context, and Feedback, Postproc. of 3rd Int. Workshop, pages 1–18. Springer-Verlag, 2006. 26. I. Schmitt. Basic Concepts for Unifying Queries of Database and Retrieval Systems. Technical Report 7, Fakult¨ at f¨ ur Informatik, Univ. Magdeburg, 2005. 27. I. Schmitt and N. Schulz. Similarity Relational Calculus and its Reduction to a Similarity Algebra.

These relations can be spatial, temporal or spatiotemporal. Also in the domain ontology relation types to represent relationships between components are used. Below types of relations and properties used are given: – Property: Color, shape, texture, spatial info, frame identifier. (fuzziness) – Relations: • Ordering operations: before, after, during, covers, overlaps, contains • Topological:left, right, top, bottom • Directional: moves toward, passes, moves west, moves north-west 36 Y. Yildirim and A.

Thus, most query processing techniques known from the database theory are still valid. Nevertheless, there are some common problems of fuzzy-based querying. First, applying the standard fuzzy norms min/max in our context suffers from a specific property: The minimum as well as the maximum of two certain scores returns always just one of them and ignores completely the other one. For example, assume two conjunctively combined retrieval conditions. The condition which returns smaller scores dominates completely the result semantics.

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